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Biocomputational Data Analyst
Responder al anuncioThe Centro de Biología Molecular Severo Ochoa is seeking an experienced Bioinformatician with extensive computational experience in Next Generation Sequencing (NGS) techniques, proficient in Linux, R, and Python programming languages. The successful candidate will be integrated as part of our Biocomputational Analysis service, working on cutting-edge projects in genomics and transcriptomics. Experience with the following tasks will be advantageous:• Analyse NGS data (e. g. , WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, IsoSeq, single-cell (scRNA-seq, scATAC-seq), metagenomics (metabarcoding-16S, 18S, ITS and shotgun sequencing). Quality Control procedures, and pathway enrichment analyses. • Multi-omics data integration analysis: genomics, metabolomics, and proteomics data for a comprehensive understanding of biological processes. • Knowledge of statistical analyses: exploratory data analysis, hypothesis testing, multiple testing corrections, sample power calculations, ANOVA, PCA, data mining (machine learning), ROC curves, etc. • Develop and implement bioinformatics pipelines and tools for processing and analysing large-scale genomic data sets. • Support research teams to design and execute experiments, interpret results and assist in the preparation of scientific publications. • Stay abreast of the latest developments in NGS technologies and the release of new software for data analyses. This is an exciting opportunity to join one of the leading institutes in Spain in biomedicine and contribute to ground-breaking discoveries. If you meet the qualifications above and feel passionate about bioinformatics, we strongly encourage you to apply.
To Apply: Please submit your CV (4-page extension limit) todireccion. cbm@csic. es.
Requirements, Experience and Academic Qualifications:
- Minimum of 4 years of experience in bioinformatics, with a focus on NGS data analysis.
- Experience in pipeline implementation
- Strong programming skills in Linux, R, Python, and Matlab.
- Advanced knowledge of statistics
- Familiarity with machine learning techniques.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate effectively in English.
- Experience with cloud computing and parallel processing is a plus.
- Master's degree or Ph. D. in bioinformatics, computational biology, or a related field is valued.
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